Evidence map›Paper›PMID 35992707›Full record

ArticleFrontiers in microbiology2022

Exploring strain diversity of dominant human skin bacterial species using single-cell genome sequencing.

Keigo Ide, Tatsuya Saeki, Koji Arikawa, Takuya Yoda, Taruho Endoh, Ayumi Matsuhashi, Haruko Takeyama, Masahito Hosokawa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Strain-level dissection of complex rhizoplane and soil bacterial communities using single-cell genomics and metagenomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  8. Microorganisms · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Keigo IdeDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Tatsuya SaekibitBiome, Inc., Tokyo, Japan.
Koji ArikawabitBiome, Inc., Tokyo, Japan.
Takuya YodabitBiome, Inc., Tokyo, Japan.
Taruho EndohbitBiome, Inc., Tokyo, Japan.
Ayumi MatsuhashibitBiome, Inc., Tokyo, Japan.
Haruko TakeyamaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Masahito HosokawaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Waseda University · JPNational Institute of Advanced Industrial Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the role of the skin commensal bacterial community in skin health and the spread of pathogens, it is crucial to identify genetic differences in the bacterial strains corresponding to human individuals. A culture-independent genomics approach is an effective tool for obtaining massive high-quality bacterial genomes. Here we present a single-cell genome sequencing to obtain comprehensive whole-genome sequences of uncultured skin bacteria from skin swabs. We recovered 281 high-quality (HQ) and 244 medium-quality single-amplified genomes (SAGs) of multiple skin bacterial species from eight individuals, including cohabiting group. Single-cell sequencing outperformed in the genome recovery from the same skin swabs, showing 10-fold non-redundant strain genomes compared to the shotgun metagenomic sequencing and binning approach. We then focused on the abundant skin bacteria and identified intra-species diversity, especially in 47

Indexed as

genomemetagenomicsmicrobiomesingle-cell genomicsskin

Identifiers

PMID35992707
PMCPMC9389210
OpenAlexW4289943331

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.